Chip Design Algorithms
Comprehensive suite of chip design automation algorithms including classical optimization methods and cutting-edge Reinforcement Learning approaches for placement, routing, floorplanning, synthesis, timing analysis, power optimization, clock tree synthesis, partitioning, and design verification
Algorithm Configuration
Placement
Simulated Annealing
Real
Problem Size
Algorithm Information
Simulated AnnealingCategory: placement
Placement algorithms determine the physical locations of cells on the chip. Good placement minimizes wirelength and improves routability.
• Simulated Annealing: Probabilistic optimization using temperature cooling
• Genetic Algorithm: Evolution-based approach with crossover and mutation
• Force-Directed: Physical simulation with attractive/repulsive forces